自行车
模式(计算机接口)
工作(物理)
气候变化
集合(抽象数据类型)
地理
环境科学
计量经济学
自然地理学
计算机科学
经济
地质学
工程类
操作系统
海洋学
考古
程序设计语言
机械工程
出处
期刊:Urban Studies
[SAGE Publishing]
日期:2020-10-28
卷期号:59 (1): 97-119
被引量:16
标识
DOI:10.1177/0042098020957583
摘要
Cycling to work is uncommon in most areas of the USA but relatively common in a particular set of metros and neighbourhoods. Explanations for this spatial heterogeneity often focus on differences in local geography, with some areas being allegedly more suitable for cycling. I estimate the role of topography and climate in determining the share of a metro’s workers who cycle to work and the probability a particular worker chooses to cycle. I combine a USA-wide data set of commute flows with detailed elevation and climate data. I find that climate and topography play essentially no role in explaining cycling mode share across metros. Across workers, the hilliness of a commuter’s route is found to be statistically irrelevant to cycling mode choice.
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